The Energy and the Entropy of Hybrid Multi-Agent Systems
نویسندگان
چکیده
This paper could be seen as a transdisciplinary paper. We first review some history facts about artificial intelligence and our previous research. Then, we explain the meaning of two concepts coming from physics, energy and entropy, giving plenty of examples of how these concepts were adapted in other fields of study. We then propose the use of some concepts (efficiency, energy, entropy and transdisciplinary distance) in the study of hybrid multi-agent systems deriving some equations for them. Finally, we refer to other thermodynamic accounts within multi-agent systems, discuss on the results presented in this paper, and conclude with some remarks on knots.
منابع مشابه
A class of multi-agent discrete hybrid non linearizable systems: Optimal controller design based on quasi-Newton algorithm for a class of sign-undefinite hessian cost functions
In the present paper, a class of hybrid, nonlinear and non linearizable dynamic systems is considered. The noted dynamic system is generalized to a multi-agent configuration. The interaction of agents is presented based on graph theory and finally, an interaction tensor defines the multi-agent system in leader-follower consensus in order to design a desirable controller for the noted system. A...
متن کاملRanking Locations Based on Hydrogen Production from Geothermal in Iran Using the Fuzzy Moora Hybrid Approach and Expanded Entropy Weighting Method
The present study aimed at ranking and selecting the superior geothermal project for hydrogen production in 14 provinces of Iran using a multi-objective optimization fuzzy hybrid approach through analyzing the ratio (fuzzy Moora) and expanded entropy weighting method. In this research, the extended entropy weighing method and the Fuzzy-Moora approach were utilized to weigh the criteria and proj...
متن کاملMulti-Objective Optimization of Solar Thermal Energy Storage Using Hybrid of Particle Swarm Optimization and Multiple Crossover and Mutation Operator
Increasing of net energy storage (Q net) and discharge time of phase change material (t PCM), simultaneously, are important purpose in the design of solar systems. In the present paper, Multi-Objective (MO) based on hybrid of Particle Swarm Optimization (PSO) and multiple crossover and mutation operator is used for Pareto based optimization of solar systems. The conflicting objectives are Q net...
متن کاملA Hybrid Modeling for Continuous Casting Scheduling Problem
This paper deals with a multi-agent-based interval type-2 fuzzy (IT2F) expert systemfor scheduling steel continuous casting. Continuous caster scheduling is a complex and extensiveprocess that needs expert staff. In this study, a distributed multi-agent-based structure is proposed as asolution. The agents used herein can cooperate with each other via various communication protocols.To facilitat...
متن کاملDetailed Modeling and Novel Scheduling of Plug-in Electric Vehicle Energy Storage Systems for Energy Management of Multi-microgrids Considering the Probability of Fault Occurrence
As an effective means of displacing fossil fuel consumption and reducing greenhouse gas emissions, plug-in electric vehicles (PEVs) and plug-in hybrid electric vehicles (PHEVs) have attracted more and more attentions. From the power grid perspective, PHEVs and PEVs equipped with batteries can also be used as energy storage facilities, due to the fact that, these vehicles are parked most of the ...
متن کامل